We propose an AI-based intrusion detection system for the ITRI AI Box information security application. We first use CICFlowmeter to collect network flow data and then extract flow traffic features for the input of the machine learning model. It achieves almost 99.9% Accuracy and 99.9% Recall in the test dataset.
This paper proposes an AI-based intrusion detection method for the ITRI AI BOX information security application. The packets captured by AI BOX are analyzed ...
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May 3, 2024 · Decision-Making Capabilities: AI-driven intrusion detection systems can make real-time decisions based on the analysis of vast datasets. This ...
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The AI-based analytic analysis offers support of object classification based recognition to drive positive event notification and/or alert. Learn More. Features.
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Oct 18, 2021 · AI has enabled intrusion detection systems to be adapted for IoT networks, which have been difficult to cover with traditional alternatives.
Feb 9, 2023 · It reviews the detection techniques, attack types, features, and benchmark datasets. Furthermore, the article discusses the security of AI ...
Jan 12, 2024 · This paper responds to this need by conducting a rigorous ML-based IV-. IDS analysis. We offer a thorough review of recent automotive forensics ...
Mar 15, 2024 · An explainable nature-inspired cyber attack detection system in Software-Defined IoT applications. 2024, Expert Systems with Applications.
Jan 12, 2024 · This paper first briefly introduces the concept and features of IoV, and then reviews the related research on AI-based IoV intrusion detection ...
Extending DSPM to AI: Automatically detects sensitive training data and helps you ensure it is secure, with new out-of-the-box DSPM AI controls. Extending ...